Triple
T10531877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anandamoyi |
E248461
|
entity |
| Predicate | inUniverse |
P47705
|
FINISHED |
| Object | Fictional world of Gora |
E737332
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Fictional world of Gora | Statement: [Anandamoyi, inUniverse, Fictional world of Gora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fictional world of Gora Context triple: [Anandamoyi, inUniverse, Fictional world of Gora]
-
A.
Backaland
Backaland is a small settlement on the Orkney island of Eday in Scotland.
-
B.
Gondal
Gondal is a historic town and former princely state in the Saurashtra (Kathiawar) region of Gujarat, India, known for its palaces and royal heritage.
-
C.
Majipoor
chosen
Majipoor is a vast, ancient, and heavily populated alien world from Robert Silverberg’s science fantasy series, known for its layered societies, strange native species, and grand, continent-spanning cities.
-
D.
Imajaghan
Imajaghan are a distinct subgroup of the Tuareg people, known for their shared Berber heritage, language, and nomadic Saharan cultural traditions.
-
E.
Görliwood
Görliwood is the popular nickname for the German city of Görlitz, known as a frequent filming location for international movies and TV productions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50a17f23081909f3372e160e21670 |
completed | April 7, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90e471e9c8190b134249073b289bd |
completed | April 10, 2026, 2:50 p.m. |
Created at: April 6, 2026, 12:30 p.m.